Synopsis
The contemporary world is heavily influenced by web technology, with a significant increase in web information every year. Manual classification of web page documents proves to be both time-consuming and inaccurate, given the abundance of irrelevant, redundant, and noisy information present in web pages. Therefore, an automatic web page classification system becomes essential. Web page classification plays a crucial role in information management and retrieval tasks. Feature selection is a pivotal step in achieving accurate web page classification.Web pages typically contain a large number of features, which can adversely affect classification accuracy. The primary objective of the proposed research is to develop a hybrid feature selection approach that is not only efficient but also effective in automatically classifying web pages. This approach not only enhances classification accuracy but also aids web search tools in delivering relevant results within the appropriate category.
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Machine Learning Algorithms in Web Page Classification
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LAP LAMBERT Academic Publishing Feb 2024, 2024
ISBN 10: 6207465954
ISBN 13: 9786207465958
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Machine Learning Algorithms in Web Page Classification
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ISBN 10: 6207465954
ISBN 13: 9786207465958
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The contemporary world is heavily influenced by web technology, with a significant increase in web information every year. Manual classification of web page documents proves to be both time-consuming and inaccurate, given the abundance of irrelevant, redund. Seller Inventory # 1470131756
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Machine Learning Algorithms in Web Page Classification
Published by
LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207465954
ISBN 13: 9786207465958
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Taschenbuch. Condition: Neu. Machine Learning Algorithms in Web Page Classification | S. Markkandeyan (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207465958 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 128751967
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Machine Learning Algorithms in Web Page Classification
Published by
LAP LAMBERT Academic Publishing Feb 2024, 2024
ISBN 10: 6207465954
ISBN 13: 9786207465958
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The contemporary world is heavily influenced by web technology, with a significant increase in web information every year. Manual classification of web page documents proves to be both time-consuming and inaccurate, given the abundance of irrelevant, redundant, and noisy information present in web pages. Therefore, an automatic web page classification system becomes essential. Web page classification plays a crucial role in information management and retrieval tasks. Feature selection is a pivotal step in achieving accurate web page classification.Web pages typically contain a large number of features, which can adversely affect classification accuracy. The primary objective of the proposed research is to develop a hybrid feature selection approach that is not only efficient but also effective in automatically classifying web pages. This approach not only enhances classification accuracy but also aids web search tools in delivering relevant results within the appropriate category.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch. Seller Inventory # 9786207465958
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Machine Learning Algorithms in Web Page Classification
Published by
LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207465954
ISBN 13: 9786207465958
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The contemporary world is heavily influenced by web technology, with a significant increase in web information every year. Manual classification of web page documents proves to be both time-consuming and inaccurate, given the abundance of irrelevant, redundant, and noisy information present in web pages. Therefore, an automatic web page classification system becomes essential. Web page classification plays a crucial role in information management and retrieval tasks. Feature selection is a pivotal step in achieving accurate web page classification.Web pages typically contain a large number of features, which can adversely affect classification accuracy. The primary objective of the proposed research is to develop a hybrid feature selection approach that is not only efficient but also effective in automatically classifying web pages. This approach not only enhances classification accuracy but also aids web search tools in delivering relevant results within the appropriate category. Seller Inventory # 9786207465958
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Machine Learning Algorithms in Web Page Classification
Published by
LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207465954
ISBN 13: 9786207465958
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